Limited rows selection with given column in Pandas | Python

Select any row from a Dataframe in Pandas | Python

Last Updated : 24 Oct, 2019

In this article, we will learn how to get the rows from a dataframe as a list, without using the functions like ilic[]. There are multiple ways to do get the rows as a list from given dataframe. Let’s see them will the help of examples.

# importing pandas as pd  
import pandas as pd  
    
# Create the dataframe  
df = pd.DataFrame({'Date':['10/2/2011', '11/2/2011', '12/2/2011', '13/2/11'],  
                    'Event':['Music', 'Poetry', 'Theatre', 'Comedy'],  
                    'Cost':[10000, 5000, 15000, 2000]})  
  
  
# using interrors() method 
  
# Create an empty list  
Row_list =[]  
    
# Iterate over each row  
for index, rows in df.iterrows():  
  
    # Create list for the current row  
    my_list =[rows.Date, rows.Event, rows.Cost]  
        
    # append the list to the final list  
    Row_list.append(my_list)  
    
# Print the list  
print(Row_list)  

Output:

[['10/2/2011', 'Music', 10000], ['11/2/2011', 'Poetry', 5000], 
      ['12/2/2011', 'Theatre', 15000], ['13/2/11', 'Comedy', 2000]]

    
# Print the first 2 elements  
print(Row_list[:2])  

Output:

[['10/2/2011', 'Music', 10000], ['11/2/2011', 'Poetry', 5000]]

Limited rows selection with given column in Pandas | Python

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